Triple
T13305927
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maarten ’t Hart |
E316935
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
De unster
De unster is a novel by Dutch author Maarten ’t Hart, known for its psychologically rich storytelling and exploration of human relationships.
|
E1032030
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: De unster | Statement: [Maarten ’t Hart, notableWork, De unster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: De unster Context triple: [Maarten ’t Hart, notableWork, De unster]
-
A.
Udelnaya
Udelnaya is a residential neighborhood and railway station area in the northern part of Saint Petersburg, Russia.
-
B.
Derbystar
Derbystar is a German sports equipment brand best known for producing high-quality footballs used in professional leagues and competitions.
-
C.
Uden
Uden is a town in the southern Netherlands known for its location in the province of North Brabant and its proximity to nature reserves and regional industry.
-
D.
Undset
Undset is the surname of Sigrid Undset, the Norwegian novelist and Nobel Prize in Literature laureate renowned for her medieval trilogy "Kristin Lavransdatter."
-
E.
Unsuri
Unsuri was a prominent 11th-century Persian court poet renowned for his panegyrics and refined style, serving as a leading literary figure in the Ghaznavid era.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: De unster Triple: [Maarten ’t Hart, notableWork, De unster]
Generated description
De unster is a novel by Dutch author Maarten ’t Hart, known for its psychologically rich storytelling and exploration of human relationships.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: De unster Target entity description: De unster is a novel by Dutch author Maarten ’t Hart, known for its psychologically rich storytelling and exploration of human relationships.
-
A.
Udelnaya
Udelnaya is a residential neighborhood and railway station area in the northern part of Saint Petersburg, Russia.
-
B.
Derbystar
Derbystar is a German sports equipment brand best known for producing high-quality footballs used in professional leagues and competitions.
-
C.
Uden
Uden is a town in the southern Netherlands known for its location in the province of North Brabant and its proximity to nature reserves and regional industry.
-
D.
Undset
Undset is the surname of Sigrid Undset, the Norwegian novelist and Nobel Prize in Literature laureate renowned for her medieval trilogy "Kristin Lavransdatter."
-
E.
Unsuri
Unsuri was a prominent 11th-century Persian court poet renowned for his panegyrics and refined style, serving as a leading literary figure in the Ghaznavid era.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d806b40ab4819094adf6c374f4811a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d990a76adc8190ab9abcdb79a21ca8 |
completed | April 11, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f716e3617081909eea9989cf5e7b30 |
completed | May 3, 2026, 9:35 a.m. |
| NEDg | Description generation | batch_69f7179da5488190a10acadbf60ea470 |
completed | May 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f71847e7308190ac6f59a7dcafa452 |
completed | May 3, 2026, 9:41 a.m. |
Created at: April 9, 2026, 9:28 p.m.